conftrace_

Optimization & Theory

7,804 papers (27 classified directly here)

Subtopics · a paper can sit in several, so these overlap

Optimization (1,960) Model Compression (1,896) Efficient Computing (1,780) Theory (1,239) Neural Network Optimization (1,004) Evaluation (533) Regularization (177) Loss Functions (157) Interpretability (128) Stochastic Methods (119) Generalization (115) Sparse Optimization (25)

Papers per year

8

7

12

6

16

9

25

48

45

60

94

150

295

436

675

803

1,010

944

1,346

1,352

463

'10

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'25

Papers (including subtopics)

AQ-DETR: Low-Bit Quantized Detection Transformer with Auxiliary Queries AAAI 2024 Arbitrary-Scale Video Super-resolution Guided by Dynamic Context AAAI 2024 Archaeoscape: Bringing Aerial Laser Scanning Archaeology to the Deep Learning Era NeurIPS 2024 Are Conventional SNNs Really Efficient? A Perspective from Network Quantization CVPR 2024 Are More LLM Calls All You Need? Towards the Scaling Properties of Compound AI Systems NeurIPS 2024 Are self-explanations from Large Language Models faithful? ACL 2024 AsCAN: Asymmetric Convolution-Attention Networks for Efficient Recognition and Generation NeurIPS 2024 A Simple and Effective L_2 Norm-Based Strategy for KV Cache Compression EMNLP 2024 A Single-Step, Sharpness-Aware Minimization is All You Need to Achieve Efficient and Accurate Sparse Training NeurIPS 2024 Assessing and Verifying Task Utility in LLM-Powered Applications EMNLP 2024 A Study of Parameter Efficient Fine-tuning by Learning to Efficiently Fine-Tune EMNLP 2024 AsyncDiff: Parallelizing Diffusion Models by Asynchronous Denoising NeurIPS 2024 A Systematic Analysis on the Temporal Generalization of Language Models in Social Media ACL 2024 A Systematic Survey and Critical Review on Evaluating Large Language Models: Challenges, Limitations, and Recommendations EMNLP 2024 Attention-Driven Training-Free Efficiency Enhancement of Diffusion Models CVPR 2024 Attribute Diversity Determines the Systematicity Gap in VQA EMNLP 2024 A two-scale Complexity Measure for Deep Learning Models NeurIPS 2024 AutoDetect: Towards a Unified Framework for Automated Weakness Detection in Large Language Models EMNLP 2024 AutoDrop: Training Deep Learning Models with Automatic Learning Rate Drop UAI 2024 AXCEL: Automated eXplainable Consistency Evaluation using LLMs EMNLP 2024 AZ-NAS: Assembling Zero-Cost Proxies for Network Architecture Search CVPR 2024 Backdoor Defense via Test-Time Detecting and Repairing CVPR 2024 Backward Lens: Projecting Language Model Gradients into the Vocabulary Space EMNLP 2024 BAdam: A Memory Efficient Full Parameter Optimization Method for Large Language Models NeurIPS 2024 BAM! Just Like That: Simple and Efficient Parameter Upcycling for Mixture of Experts NeurIPS 2024